Staff Robotics Software Engineer

Company Overview:  

At Relativity Space, we have two audacious goals: to build the next great commercial launch company with Terran R and to become America's leading force in additive manufacturing innovation. Both contribute to our long-term vision of creating humanity’s industrial base on Mars, paving the way for interplanetary life to expand the possibilities of the human experience. This journey begins right here on Earth – where we design, build, and fly rockets to deliver customer payloads to orbit. Terran R, our medium-to-heavy lift reusable rocket, fulfills the growing demand for launch capacity, thanks to our iterative approach that accelerates design, testing, and development while minimizing costs. While our groundbreaking research and development in 3D printing pushes the boundaries of large-scale additive manufacturing.

Your journey with us is more than just a job – it’s an opportunity to shape the future of aerospace technology, additive manufacturing, and the human experience alongside a community of passionate, creative individuals. Join us on this extraordinary journey, as we work together to transform our vision into reality.

About the Team:  

The Robotics and Perception Engineering Team is building out a novel type of cooperative robotic platform that utilizes our large-scale additive manufacturing systems. We will be inventing and
innovating new ways to have cooperative robots create structures. Our team provides a system with which custom robots and additive systems can be built and integrated seamlessly.

About the Role: 

As a Staff Robotics Software Engineer, you will play a key role in the development and integration of robotics software and hardware for a cooperative robotics platform.  You will be implementing perception systems (LiDAR, Area 3D Scanners, Motion Capture) with autonomous robots, robotic arms and AGVs to cooperatively complete tasks.  You will collaborate with cross-functional teams to design, implement, and test innovative solutions that push the boundaries of robotics and additive technologies.

About You:  

• Education: BS, MS, or PhD in Computer Science, Robotics, Electrical Engineering, or a related field.
• Extensive experience in robotics software development: Particularly in C++ and embedded environments. 
• Proficient in EtherCAT communication protocols and real-time operating systems (RTOS): Experience with EtherCAT and RTOS for real-time communication and control. 
• Strong understanding of data processing algorithms for real-time applications: Ability to design and implement efficient algorithms for processing sensor data. 
• Experience with robotics kinematics, motion control, and multi-robot coordination: Knowledge of kinematic principles, motion control techniques, and strategies for coordinating multiple robots. 
• Proven track record of integrating various sensors: Including LiDAR, cameras, and IMUs, into robotic systems, with a focus on sensor calibration, synchronization, and data fusion. 
• Solid grasp of linear algebra, 3D transformations, and control systems: Strong mathematical foundation for handling complex transformations and control algorithms. 
• Demonstrated capability in debugging and troubleshooting software and hardware issues in complex robotic systems: Skilled in diagnosing and resolving issues in integrated systems. 
• Excellent communication and collaboration skills: Ability to effectively communicate technical concepts and work in cross-functional teams. 
• Knowledge of robotics middleware and frameworks: Such as ROS (Robot Operating System).
• Understanding of safety protocols and standards in industrial robotics: Familiarity with safety regulations and best practices in robotic systems. 

Nice to haves but not required:  

• Experience with industrial robot manipulators: Familiarity with industrial robot manipulators such as KUKA, ABB, Universal Robots, etc. Ability to interface with and program these robots for various tasks, including manipulation and assembly. 
• Knowledge of robotic weld systems: Understanding of robotic welding systems and processes, including programming weld paths, optimizing parameters, and ensuring weld quality. Experience with welding robot integration and coordination. 
• Expertise in robot coordination between systems: Proficiency in coordinating multiple robotic systems to perform collaborative tasks efficiently. Experience with motion planning, task allocation, and synchronization algorithms for multi-robot systems. 
• Experience with industrial mobile robots: Knowledge of industrial mobile robots used for material handling, logistics, and automation applications. Ability to program and integrate mobile robots into manufacturing and warehouse environments. 
• Proficiency in simulation environments: Experience with robotics simulation tools and environments such as ROS, Gazebo, or V-REP. Ability to simulate robotic systems, sensor behavior, and environmental interactions for testing and validation purposes. 
• Interest in emerging technologies: Passion for staying updated with the latest advancements in robotics, computer graphics, and sensor technologies. Willingness to explore and experiment with new tools, frameworks, and methodologies to enhance system capabilities. 
• Experience with SLAM (Simultaneous Localization and Mapping): Understanding and experience in developing or implementing SLAM algorithms for robotic navigation. 
• Proficiency in multi-platform development: Including Linux and Windows environments. 
• Background in computer vision and sensor fusion techniques: Knowledge of integrating visual data from cameras with other sensor data for enhanced perception capabilities. 
• Familiarity with machine learning algorithms for robotics applications: Experience in applying machine learning to improve robotic performance and capabilities. 

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.